ML Anthology

GPS-Based Multi-Viewpoint Integration for Anticipative Scene Analysis

Kohji Kamejima
ECCV 2012 pp. 375-384
doi:10.1007/978-3-642-33885-4_38 /eccv/2012/kamejima2012eccv-gps/

Abstract

A multi-viewpoint integration scheme is introduced to recognize scene features prior to physical access. In this schematics, chromatic complexity of vehicle’s- and bird’s-eye-views of roadway scenes are matched to extend GPS tracks towards possible destinations. Saliency patterns arising in destination images are anticipatively extracted to control the focus of inherent and machine vision to what to be analyzed.

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Text

Kamejima. "GPS-Based Multi-Viewpoint Integration for Anticipative Scene Analysis." European Conference on Computer Vision, 2012. doi:10.1007/978-3-642-33885-4_38

Markdown

[Kamejima. "GPS-Based Multi-Viewpoint Integration for Anticipative Scene Analysis." European Conference on Computer Vision, 2012.](https://mlanthology.org/eccv/2012/kamejima2012eccv-gps/) doi:10.1007/978-3-642-33885-4_38

BibTeX

@inproceedings{kamejima2012eccv-gps,
  title     = {{GPS-Based Multi-Viewpoint Integration for Anticipative Scene Analysis}},
  author    = {Kamejima, Kohji},
  booktitle = {European Conference on Computer Vision},
  year      = {2012},
  pages     = {375-384},
  doi       = {10.1007/978-3-642-33885-4_38},
  url       = {https://mlanthology.org/eccv/2012/kamejima2012eccv-gps/}
}